Application of embedding dimension estimation to Volterra series-based behavioral modeling and predistortion of wideband RF power amplifier

被引:2
作者
Fehri, Bilel [1 ]
Boumaiza, Slim [1 ]
机构
[1] Univ Waterloo, EMRG Res Grp, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
基金
加拿大创新基金会; 加拿大自然科学与工程研究理事会;
关键词
Power amplifiers and linearizers; Modeling; Simulation and characterizations of devices and circuits; ORTHOGONAL POLYNOMIALS; MICROWAVE;
D O I
10.1017/S1759078713000056
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper expounds the systematic modeling of the behavior of radio frequency (RF) power amplifiers (PAs) exhibiting nonlinear, dynamic behavior. The approach begins with an analysis of the PA output signal to deduce the minimum embedding parameters required to accurately model its response, particularly the nonlinearity order and memory effects depth. The knowledge of the RF PA is then exploited in limiting the number of kernels consequently addressing the complexity of the Volterra series which has been the key hindrance to its wider practical adoption. In the proposed Volterra series model, performance is assessed and compared to memory polynomial model and dynamic deviation reduction Volterra models when used to linearize different high-power amplifiers driven with wideband signals of bandwidth up to 40 MHz. Significant linearization performance is achieved using a reduced number of kernels.
引用
收藏
页码:115 / 122
页数:8
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